It was found that the local accuracy and global accuracy are 73.1% and 76.1% respectively using Bayes methods.

结果表明，基于贝叶斯方法的局部预测率和全局预测率分别为73.1%和76.1%。

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This paper discusses two methods of complete event group for complete probability formular and Bayes formular.

对全概率公式和贝叶斯公式，探讨了寻找完备事件组的两个常用方法。

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There are many classification methods to forecast such as decision tree algorithm (C4.5), Bayes algorithm, BP algorithm and SVM.

现有的分类预测的方法有许多种，常见的有决策树算法(C4.5)、贝叶斯分类算法、BP算法与支持向量机等。

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